Nasir M. Rajpoot

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 187

Top Venues

CoRR

Medical Image Anal.

MIUA

Medical Imaging: Digital Pathology

University of Warwick, Coventry, UK (PHD)

Education History

University of Warwick, Coventry, UK

PHD

Publications

Srijay Deshpande, Muhammad Dawood, Fayyaz Minhas, Nasir M. Rajpoot
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts. Medical Image Anal. 91 (2024)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92 (2024)
Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir M. Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models. CoRR (2024)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot
Consistency regularisation in varying contexts and feature perturbations for semi-supervised semantic segmentation of histology images. Medical Image Anal. 91 (2024)
Kesi Xu, Lea Goetz, Nasir M. Rajpoot
On generalisability of segment anything model for nuclear instance segmentation in histology images. CoRR (2024)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Shan-e-Ahmed Raza, Fayyaz A. Afsar, David R. J. Snead, Nasir M. Rajpoot
One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Anal. 83 (2023)
Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan e Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot
Nuclear Segmentation and Classification: On Color & Compression Generalization. CoRR (2023)
Mostafa Jahanifar, Manahil Raza, Kesi Xu, Trinh Thi Le Vuong, Robert Jewsbury, Adam Shephard, Neda Zamanitajeddin, Jin Tae Kwak, Shan E Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR (2023)
Srijay Deshpande, Fayyaz Minhas, Nasir M. Rajpoot
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout. CoRR (2023)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-e-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
Adam J. Shephard, Hanya Mahmood, Shan E Ahmed Raza, Anna Luiza Damaceno Araujo, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot
Transformer-based Model for Oral Epithelial Dysplasia Segmentation. CoRR (2023)
Quoc Dang Vu, Kashif Rajpoot, Shan-E-Ahmed Raza, Nasir M. Rajpoot
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images. Medical Image Anal. 85 (2023)
Arwa Al-Rubaian, Gozde N. Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, Shan E Ahmed Raza
Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images. CoRR (2023)
Gozde N. Gunesli, Mohsin Bilal, Shan-E-Ahmed Raza, Nasir M. Rajpoot
A Federated Learning Approach to Tumor Detection in Colon Histology Images. J. Medical Syst. 47 (1) (2023)
Najah Alsubaie, Shan-E-Ahmed Raza, David R. J. Snead, Nasir M. Rajpoot
Growth Pattern Fingerprinting for Automatic Analysis of Lung Adenocarcinoma Overall Survival. IEEE Access 11 (2023)
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan e Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR (2023)
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
An aggregation of aggregation methods in computational pathology. Medical Image Anal. 88 (2023)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan e Ahmed Raza, Nasir M. Rajpoot
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images. CoRR (2023)
Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
Deep feature based cross-slide registration. Comput. Medical Imaging Graph. 104 (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Adam J. Shephard, Raja Muhammad Saad Bashir, Hanya Mahmood, Mostafa Jahanifar, Fayyaz Minhas, Shan E Ahmed Raza, Kris D. McCombe, Stephanie G. Craig, Jacqueline James, Jill Brooks, Paul Nankivell, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia. CoRR (2023)
Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot
Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images. CoRR (2023)
Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan E Ahmed Raza
An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer. CoRR (2023)
Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification. CoRR (2023)
Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. CoRR (2022)
Raja Muhammad Saad Bashir, Muhammad Shaban, Shan e Ahmed Raza, Syed Ali Khurram, Nasir M. Rajpoot
A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. MIUA (2022)
Gozde N. Gunesli, Robert Jewsbury, Shan-e-Ahmed Raza, Nasir M. Rajpoot
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images. MOVI@MICCAI (2022)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. CoRR (2022)
Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot
SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Medical Image Anal. 77 (2022)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: robustness evaluation and enhancement toolbox for computational pathology. Bioinform. 38 (12) (2022)
Alex Foote, Amina Asif, Nasir M. Rajpoot, Fayyaz A. Minhas
REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology. CoRR (2022)
Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR (2022)
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
An Aggregation of Aggregation Methods in Computational Pathology. CoRR (2022)
Adam J. Shephard, Mostafa Jahanifar, Ruoyu Wang, Muhammad Dawood, Simon Graham, Kastytis Sidlauskas, Syed Ali Khurram, Nasir M. Rajpoot, Shan e Ahmed Raza
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge. CoRR (2022)
Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. CoRR (2022)
Neda Azarmehr, Adam J. Shephard, Hanya Mahmood, Nasir M. Rajpoot, Syed Ali Khurram
A Neural Architecture Search Based Framework for Segmentation of Epithelium, Nuclei and Oral Epithelial Dysplasia Grading. MIUA (2022)
Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot
Multi-scale Attention-Based Multiple Instance Learning for Classification of Multi-gigapixel Histology Images. ECCV Workshops (7) (2022)
Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain, Muhammad Umar Javed, Amber Kiyani, Nasir M. Rajpoot, Syed Ali Khurram, Hassan Aqeel Khan
On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Shan e Ahmed Raza, Nasir M. Rajpoot
Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge. CoRR (2022)
Ruqayya Awan, Mohammed Nimir, Shan e Ahmed Raza, Johannes Lotz, David R. J. Snead, Andrew Robison, Nasir M. Rajpoot
Deep Learning based Prediction of MSI in Colorectal Cancer via Prediction of the Status of MMR Markers. CoRR (2022)
Taimur Hassan, Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir M. Rajpoot
Nucleus classification in histology images using message passing network. Medical Image Anal. 79 (2022)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR (2022)
Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan-e-Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot
Nuclear Segmentation and Classification: On Color and Compression Generalization. MLMI@MICCAI (2022)
Ruoyu Wang, Syed Ali Khurram, Amina Asif, Lawrence Young, Nasir M. Rajpoot
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images. CoRR (2022)
Made Satria Wibawa, Kwok-Wai Lo, Lawrence Young, Nasir M. Rajpoot
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images. CoRR (2022)
Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) (2022)
Quoc Dang Vu, Kashif Rajpoot, Shan e Ahmed Raza, Nasir M. Rajpoot
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images. CoRR (2022)
Ruqayya Awan, Shan-e-Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir M. Rajpoot
Deep Feature based Cross-slide Registration. CoRR (2022)
Wenqi Lu, Michael Toss, Muhammad Dawood, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas
SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer. Medical Image Anal. 80 (2022)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
ALBRT: Cellular Composition Prediction in Routine Histology Images. ICCVW (2021)
Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot
A QuadTree Image Representation for Computational Pathology. ICCVW (2021)
Amina Asif, Kashif Rajpoot, David R. J. Snead, Fayyaz A. Minhas, Nasir M. Rajpoot
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits. CoRR (2021)
Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. CoRR (2021)
Simon Graham, Mostafa Jahanifar, Quoc Dang Vu, Giorgos Hadjigeorghiou, Thomas Leech, David R. J. Snead, Shan e Ahmed Raza, Fayyaz A. Minhas, Nasir M. Rajpoot
CoNIC: Colon Nuclei Identification and Counting Challenge 2022. CoRR (2021)
Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot
Editorial Computational Pathology. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients. CoRR (2021)
Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-e-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. CoRR (2021)
Imran Khurram, M. M. Fraz, Muhammad Shahzad, Nasir M. Rajpoot
Dense-CaptionNet: a Sentence Generation Architecture for Fine-grained Description of Image Semantics. Cogn. Comput. 13 (3) (2021)
Najah Alsubaie, David R. J. Snead, Nasir M. Rajpoot
Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma. IEEE Access 9 (2021)
Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. ICCVW (2021)
Mostafa Jahanifar, Adam Shepard, Neda Zamanitajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. CoRR (2021)
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-e-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot
A QuadTree Image Representation for Computational Pathology. CoRR (2021)
Nima Hatami, Mohsin Bilal, Nasir M. Rajpoot
Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis. CoRR (2021)
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot
Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input. ICCVW (2021)
Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-e-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification. ICCVW (2021)
Sajid Javed, Arif Mahmood, Jorge Dias, Naoufel Werghi, Nasir M. Rajpoot
Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images. Medical Image Anal. 72 (2021)
Noor ul Wahab, Islam M. Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O. Ebili, Matthew Parkin, Tom Sorell, Shan e Ahmed Raza, Emily Hero, Hesham Eldaly, Yee-Wah Tsang, Kishore Gopalakrishnan, David R. J. Snead, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas
Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations. CoRR (2021)
Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. MICCAI (8) (2021)
Gozde N. Gunesli, Mohsin Bilal, Shan e Ahmed Raza, Nasir M. Rajpoot
FedDropoutAvg: Generalizable federated learning for histopathology image classification. CoRR (2021)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning. CoRR (2021)
Jevgenij Gamper, Nasir M. Rajpoot
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles. CoRR (2021)
Hammam M. AlGhamdia, Navid Alemi Koohbanani, Nasir M. Rajpoot, Shan e Ahmed Raza
A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs. COMPAY@MICCAI (2021)
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations. IEEE Trans. Medical Imaging 40 (10) (2021)
Fayyaz A. Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot
-Regularized Neural Ranking for Risk Stratification and Its Application to Prediction of Time to Distant Metastasis in Luminal Node Negative Chemotherapy Naïve Breast Cancer Patients. PKDD/ECML Workshops (2) (2021)
Wenqi Lu, Michael Toss, Emad Rakha, Nasir M. Rajpoot, Fayyaz A. Minhas
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer. CoRR (2021)
Neda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification. CoRR (2021)
Muhammad Shaban, Shan e Ahmed Raza, Mariam Hassan, Arif Jamshed, Sajid Mushtaq, Asif Loya, Nikolaos Batis, Jill Brooks, Paul Nankivell, Neil Sharma, Max Robinson, Hisham Mehanna, Syed Ali Khurram, Nasir M. Rajpoot
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. CoRR (2021)
Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning. PKDD/ECML Workshops (2) (2021)
Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia. CoRR (2021)
Alex Foote, Amina Asif, Ayesha Azam, Tim Marshall-Cox, Nasir M. Rajpoot, Fayyaz A. Minhas
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. CoRR (2021)
Jevgenij Gamper, Nasir M. Rajpoot
Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. CVPR (2021)
Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot
Classification of COVID-19 via Homology of CT-SCAN. CoRR (2021)
Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. CoRR (2020)
Srijay Deshpande, Fayyaz A. Minhas, Simon Graham, Nasir M. Rajpoot
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images. CoRR (2020)
Jevgenij Gamper, Navid Alemi Koohbanani, Nasir M. Rajpoot
Multi-Task Learning in Histo-pathology for Widely Generalizable Model. CoRR (2020)
Simon Graham, David B. A. Epstein, Nasir M. Rajpoot
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images. CoRR (2020)
Wenqi Lu, Simon Graham, Mohsin Bilal, Nasir M. Rajpoot, Fayyaz A. Minhas
Capturing Cellular Topology in Multi-Gigapixel Pathology Images. CVPR Workshops (2020)
Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-e-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, Nasir M. Rajpoot
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. Medical Imaging: Digital Pathology (2020)
Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Yee-Wah Tsang, Katherine Hewitt, David B. A. Epstein, David R. J. Snead, Nasir M. Rajpoot
Cellular community detection for tissue phenotyping in colorectal cancer histology images. Medical Image Anal. 63 (2020)
Jevgenij Gamper, Brandon Chan, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. CoRR (2020)
Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot
NuClick: A deep learning framework for interactive segmentation of microscopic images. Medical Image Anal. 65 (2020)
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir M. Rajpoot
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations. CoRR (2020)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan e Ahmed Raza, Nasir M. Rajpoot
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. CoRR (2020)
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, Nasir M. Rajpoot
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging 39 (7) (2020)
Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39 (5) (2020)
Raja Muhammad Saad Bashir, Talha Qaiser, Shan-e-Ahmed Raza, Nasir M. Rajpoot
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification. iMIMIC/MIL3ID/LABELS@MICCAI (2020)

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Nasir M. Rajpoot